Cloud Lead Engineer
@ Barclays

India
$150,000
On Site
Full Time
Posted 17 hours ago

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Job Details

Overview

The Cloud Lead Engineer at Barclays will build and maintain data systems that collect, store, process, and analyze data including data pipelines, warehouses, and lakes. This role ensures that all data is accurate, accessible, and secure.

Responsibilities

Build and maintain data architecture pipelines for durable, complete, and consistent data, design data warehouses and lakes managing high volumes efficiently while ensuring security, develop processing and analysis algorithms that align with data complexity, and collaborate with data scientists to deploy machine learning models.

Leadership & Collaboration

Whether as an individual contributor or team leader, you will advise decision making, contribute to policy development, and ensure operational effectiveness. This includes setting objectives, coaching team members, and engaging in complex analysis across business functions to solve problems creatively.

Barclays Culture & Values

All team members must embody Barclays' values: Respect, Integrity, Service, Excellence, and Stewardship along with a mindset to Empower, Challenge, and Drive. Barclays is recognized as a top workplace with a strong culture focused on sustainability and continuous improvement.

Key skills/competency

  • Data Pipeline
  • Data Warehouse
  • Data Lake
  • Machine Learning
  • Leadership
  • Security
  • Collaboration
  • Algorithm Development
  • Risk Management
  • Policy Development

How to Get Hired at Barclays

🎯 Tips for Getting Hired

  • Research Barclays culture: Review mission, values, and team dynamics.
  • Customize your resume: Highlight data engineering expertise.
  • Prepare technical examples: Showcase data pipeline projects.
  • Practice leadership insights: Share team coaching experiences.

📝 Interview Preparation Advice

Technical Preparation

Review data pipeline architectures.
Study data warehouse security practices.
Practice algorithm coding tasks.
Analyze machine learning project case studies.

Behavioral Questions

Describe a time you led a team.
Explain handling data challenges effectively.
Share experience in cross-team collaboration.
Discuss conflict resolution in projects.

Frequently Asked Questions